Skip to main content
Log in

Customised active monitoring system for structural control and maintenance optimisation

  • Original Paper
  • Published:
Journal of Civil Structural Health Monitoring Aims and scope Submit manuscript

Abstract

The paper illustrates the development and the application of an active monitoring system, and analyzes the investigated dynamic behaviour of the structure where the system is applied. The system is installed on a 250 m suspended arch steel bridge that has been instrumented with sensors of different type. This work focuses on the employed methodologies and obtained results related to the dynamic monitoring of the bridge. The use of the Operational Modal Analysis techniques with data-driven stochastic subspace identification algorithms allows the extraction of the structural dynamic characteristics: natural frequencies, damping ratios, and mode shapes. These data are in overall accordance with those calculated through the computational model utilized by the active monitoring system. Besides, the definition of a range of scattering of modal parameters, under specific conditions, has been obtained. The bridge has very low vibration frequencies, below 1 Hz for all significant modes. The outcomes indicate that the estimation of dynamic characteristics and the corresponding accuracy is influenced by several factors, including the length of the accelerometric acquisitions and the followed specific procedures. The impact of environmental factors, with particular reference to the temperature, is examined. Compared to the damping ratio, the natural frequency shows higher estimation accuracy and marked sensitivity to the environmental factor. Consequently, in the selection of benchmark for damage detection, it should be taken into account that the two modal parameters have specific criticalities. Once that the modal parameter has been chosen, values outside the estimated uncertainty range can be considered as alarm triggers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  1. Farrar CR, Wondern K (2006) An introduction to structural health monitoring. Philos Trans R Soc A Math Phys Eng Sci 365(1851):303–315

    Article  Google Scholar 

  2. Ellingwood BR (2005) Risk-informed condition assessment of civil infrastructure: state of practice and research issues. Struct Infrastruct Eng 1(1):7–18

    Article  Google Scholar 

  3. Ivanovic SS, Trifunac MD, Todorovska MI (2000) Ambient vibration tests of structures–a review. ISET J Earthq Technol 37(4):165–197

    Google Scholar 

  4. Brownjohn JMW, Moyo P, Omenzetter P, Chakraborty S (2005) Lessons from monitoring the performance of highway bridges. Struct Control Health Monit 12(3–4):227–244

    Article  Google Scholar 

  5. Vincenzi L (2007) Identificazione dinamica delle caratteristiche modali e delle proprietà meccaniche di strutture mediante algoritmi di ottimizzazione. PhD thesis, Università degli studi di Bologna

  6. Rainieri C, Fabbrocino G (2010) Automated output-only dynamic identification of civil engineering structures. Mech Syst Signal Process 24(3):678–695

    Article  Google Scholar 

  7. Magalhães F, Cunha A, Caetano E (2009) Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 23(2):316–329

    Article  Google Scholar 

  8. Chiaia B, Ventura G, Zannini Quirini C, Marasco G (2019) Bridge active monitoring for maintenance and structural safety. In: Arêde A, Costa C (eds) Proceedings of ARCH 2019. ARCH 2019. Structural integrity, vol 11. Springer, Cham, pp 866–873

    Google Scholar 

  9. Catbas FN, Aktan AE (2002) Condition and damage assessment: issues and some promising indices. J Struct Eng 128(8):1026–1036

    Article  Google Scholar 

  10. Peeters B, De Roeck G (1999) Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Signal Process 13(6):855–878

    Article  Google Scholar 

  11. Andersen P (2010) ARTeMIS Extractor Online Help. Structural Vibration Solutions A/S

  12. Rainieri C, Fabbrocino G (2014) Operational modal analysis of civil engineering structures. Springer, New York

    Book  Google Scholar 

  13. Van Overschee P, De Moor B (1996) Subspace identification for linear systems: theory-implementation-applications. Kluver Academic Publishers, Dordrecht

    Book  Google Scholar 

  14. Peeters B, De Roeck G, Pollet T, Schueremans L (1995) Stochastic subspace technique applied to parameter identification of civil engineering structures. In: Proceedings of new advances in modal synthesis of large structures: non linear, damped and nondeterministic cases, pp 151–162

  15. Rainieri C, Fabbrocino G (2014) Influence of model order and number of block rows on accuracy and precision of modal parameter estimates in stochastic subspace identification. Int J Lifecycle Perform Eng 1(4):317–334

    Article  Google Scholar 

  16. Wu W-H, Wang S-W, Chen C-C, Lai G (2019) Modal parameter identification for closely spaced modes of civil structures based on an upgraded stochastic subspace methodology. Struct Infrastruct Eng 15(3):296–313

    Article  Google Scholar 

  17. Reynders E, De Roeck G (2008) Reference-based combined deterministic-stochastic subspace identification for experimental and operational modal analysis. Mech Syst Signal Process 22(3):617–637

    Article  Google Scholar 

  18. Priori C, De Angelis M, Betti R (2017) On the selection of user-defined parameters in data-driven stochastic subspace identification. Mech Syst Signal Process 100:501–523

    Article  Google Scholar 

  19. Tsai C-Y, Chan YJ, Chen J-L, ChaO CL, Chien SY (2018) Optimal parameters in data driven stochastic subspace identification in operational modal analysis. In: Proceedings of international conference on noise and vibration engineering (ISMA 2018) and international conference on uncertainty in structural dynamics (USD 2018), pp 2783–2792

  20. Reynders E, Pintelon R, De Roeck G (2008) Uncertainty bounds on modal parameters obtained from stochastic subspace identification. Mech Syst Signal Process 22(4):948–969

    Article  Google Scholar 

  21. Peeters B (2000) System identification and damage detection in civil engineering. PhD thesis, Katholieke Universiteit Leuven

  22. Brincker R, Zhang L, Andersen P (2000) Modal identification from ambient responses using frequency domain decomposition. In: Proceedings of the 18th international modal analysis conference (IMAC), San Antonio

  23. Magalhaes F, Cunha A, Caetano E, Bricker R (2010) Damping estimation using free decays and ambient vibration tests. Mech Syst Signal Process 24(5):1274–1290

    Article  Google Scholar 

  24. Pridham BA, Wilson JC (2003) A study on errors in correlation-driven stochastic realization using short data sets. Probab Eng Mech 18(1):61–77

    Article  Google Scholar 

  25. Peeters B, De Roeck G (2001) One-year monitoring of the Z24-Bridge: environmental effects versus damage events. Earthq Eng Struct Dyn 30(2):149–171

    Article  Google Scholar 

  26. Sohn H (2006) Effects of environmental and operational variability on structural health monitoring. Philos Trans R Soc A Math Phys Eng Sci 365(1851):539–560

    Article  Google Scholar 

  27. Cao Y, Yim J, Zhao Y, Wang ML (2011) Temperature effects on cable stayed bridge using health monitoring system: a case study. Struct Health Monit 10(5):523–537

    Article  Google Scholar 

  28. Ni YQ, Hua XG, Fan KQ, Ko JM (2005) Correlating modal properties with temperature using long-term monitoring data and support vector machine technique. Eng Struct 27(12):1762–1773

    Article  Google Scholar 

  29. Zhou GD, Yi TH (2014) A summary review of correlations between temperatures and vibration properties of long-span bridges. Math Probl Eng 2014:1–19

    Google Scholar 

  30. Deraemaeker A, Reynders E, De Roeck G, Kullaa J (2008) Vibration-based structural health monitoring using output-only measurements under changing environment. Mech Syst Signal Process 22(1):34–56

    Article  Google Scholar 

  31. Ko JM, Ni YQ (2005) Technology developments in structural health monitoring of large-scale bridges. Eng Struct 27(12):1715–1725

    Article  Google Scholar 

  32. Maeck J, Peeters B, De Roeck G (2000) Damage identification on the Z24-bridge using vibration monitoring analysis. In: COST F3 conference on system identification and structural health monitoring, pp 233–242

  33. Peeters B, Maeck J, De Roeck G (2001) Vibration-based damage detection in civil engineering: excitation sources and temperature effects. Smart Mater Struct 10(3):518

    Article  Google Scholar 

  34. Moser P, Moaveni B (2011) Environmental effects on the identified natural frequencies of the Dowling Hall Footbridge. Mech Syst Signal Process 25(7):2336–2357

    Article  Google Scholar 

  35. Allemang RJ (2003) The modal assurance criterion—twenty years of use and abuse. Sound Vib 37(8):14–23

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giulia Marasco.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chiaia, B., Marasco, G., Ventura, G. et al. Customised active monitoring system for structural control and maintenance optimisation. J Civil Struct Health Monit 10, 267–282 (2020). https://doi.org/10.1007/s13349-020-00382-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13349-020-00382-8

Keywords

Navigation